Qwen3.8 27B vs Grok 4.20 Multi Agent

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#30 of 4654.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.0–69.4#22 of 4663.4 score · 2/3 sources · provisional · missing LiveBench · full-core range 42.3–75.6
CostLower is better · Published-token output estimate#16 of 44$0.072 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#17 of 3854.8 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 45.8–62.5UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.20Deepinfra · Sep 21, 2026$1.25Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$2.50Deepinfra · Sep 21, 2026$2.50Xai · Sep 3, 2026
Context windowMaximum documented tokens262K1,000K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkQwen3.8-27BGrok 4.20 Multi-Agent
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,439.2799% of row best · rating · qwen3.8-27b; 95% CI [1432.84410050, 1445.69542028]; votes 10697; rank 681,449.94100% of row best · rating · grok-4.20-multi-agent-beta-0309; 95% CI [1446.16660741, 1453.71198087]; votes 60777; rank 46
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,272.12100% of row best · rating · qwen3.8-27b; 95% CI [1262.21853873, 1282.01179703]; votes 4577; rank 351,259.5599% of row best · rating · grok-4.20-multi-agent-beta-0309; 95% CI [1253.19837141, 1265.89693020]; votes 22925; rank 46
Overall ResultCounted from the protocol-matched rows above · 1 tie0 benchmark winsNo overall winner1 benchmark winNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldQwen3.8-27BGrok 4.20 Multi-Agent
DeveloperQwenxAI
FamilyQwen3 8 27bGrok 4 20
ModelQwen3.8-27BGrok 4.20 Multi-Agent
VersionQwen3.8-27BGrok 4.20 Multi-Agent
Lifecycleactivepreview
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K1,000K
Total parameters27.8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Xai (Standard)
Capabilitieschat, generation, reasoning, toolsgeneration, reasoning, research, tools

Qwen3.8 27B Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDQwen/Qwen3.8-27B

Grok 4.20 Multi Agent Capabilities

generationreasoningresearchtools
Serving providers1
Canonical IDxai/grok-4.20-multi-agent-0309

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 27B vs Grok 4.20 Multi Agent FAQs

Is Qwen3.8 27B or Grok 4.20 Multi Agent better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and Grok 4.20 Multi Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 27B or Grok 4.20 Multi Agent?+

Qwen3.8 27B is $0.20 and Grok 4.20 Multi Agent is $1.25 per million tokens, so Qwen3.8 27B is cheaper on this metric. Qwen3.8 27B is $2.50 and Grok 4.20 Multi Agent is $2.50 per million tokens, so they are tied on this metric.

Which has a larger context window, Qwen3.8 27B or Grok 4.20 Multi Agent?+

Grok 4.20 Multi Agent has the larger sourced context window. Qwen3.8 27B supports 262K and Grok 4.20 Multi Agent supports 1,000K.

Which performs better in benchmarks, Qwen3.8 27B or Grok 4.20 Multi Agent?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Qwen3.8 27B or Grok 4.20 Multi Agent be self-hosted?+

Qwen3.8 27B is the only model in this pair currently marked as self-hostable. Qwen3.8 27B is open weight; Grok 4.20 Multi Agent is not marked open weight.

Can Qwen3.8 27B and Grok 4.20 Multi Agent understand images?+

Qwen3.8 27B is documented with image input; Grok 4.20 Multi Agent is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 27B or Grok 4.20 Multi Agent?+

Neither has a larger sourced maximum output. Qwen3.8 27B is 131K and Grok 4.20 Multi Agent is —.

Do Qwen3.8 27B and Grok 4.20 Multi Agent support reasoning and tool use?+

Qwen3.8 27B: reasoning, tool calling, and image input. Grok 4.20 Multi Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 27B or Grok 4.20 Multi Agent?+

Qwen3.8 27B has 3 sourced provider routes; Grok 4.20 Multi Agent has 1, so Qwen3.8 27B has broader tracked availability.

Which offers better value, Qwen3.8 27B or Grok 4.20 Multi Agent?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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